The systematic profiling of false identity documents: method validation and performance evaluation using seizures known to originate from common and different sources

False identity documents constitute a potential powerful source of forensic intelligence because they are essential elements of transnational crime and provide cover for organized crime. In previous work, a systematic profiling method using false documents' visual features has been built within a forensic intelligence model. In the current study, the comparison process and metrics lying at the heart of this profiling method are described and evaluated. This evaluation takes advantage of 347 false identity documents of four different types seized in two countries whose sources were known to be common or different (following police investigations and dismantling of counterfeit factories). Intra-source and inter-sources variations were evaluated through the computation of more than 7500 similarity scores. The profiling method could thus be validated and its performance assessed using two complementary approaches to measuring type I and type II error rates: a binary classification and the computation of likelihood ratios. Very low error rates were measured across the four document types, demonstrating the validity and robustness of the method to link documents to a common source or to differentiate them. These results pave the way for an operational implementation of a systematic profiling process integrated in a developed forensic intelligence model.

Clinical Implications of CD8+ T-cell infiltration in frequent and rare cancers.

Recent studies of cancer patients revealed high diversity in oncogenic mechanisms, leading to increased treatment individualization for subgroups of patients with frequent cancers. A similar development may not be possible for patients with rare cancers, such as Merkel cell carcinoma (MCC). Finding shared disease mechanisms may open new options to understanding and treating such tumors. Tumor-infiltrating CD8+ T cells are frequently associated with favorable clinical outcome in a remarkably large spectrum of cancers. In this issue, Afanasiev et al. suggest a mechanism that may hinder the tumor homing of CD8+ T cells in MCC patients. It is possible that therapeutic mobilization of anti-cancer T cells may be useful in patients who share this specific immune biological feature.

Deletion of CREB-Regulated Transcription Coactivator 1 Induces Pathological Aggression, Depression-Related Behaviors, and Neuroplasticity Genes Dysregulation in Mice.

BACKGROUND: Mood disorders are polygenic disorders in which the alteration of several susceptibility genes results in dysfunctional mood regulation. However, the molecular mechanisms underlying their transcriptional dysregulation are still unclear. The transcription factor cyclic adenosine monophosphate (cAMP) response element binding protein (CREB) and the neurotrophin brain-derived neurotrophic factor (BDNF) have been implicated in rodent models of depression. We previously provided evidence that Bdnf expression critically rely on a potent CREB coactivator called CREB-regulated transcription coactivator 1 (CRTC1). METHODS: To further evaluate the role of CRTC1 in the brain, we generated a knockout mouse line and analyzed its behavioral and molecular phenotype. RESULTS: We found that mice lacking CRTC1 associate neurobehavioral endophenotypes related to mood disorders. Crtc1(-/-) mice exhibit impulsive aggressiveness, social withdrawal, and decreased sexual motivation, together with increased behavioral despair, anhedonia, and anxiety-related behavior in the novelty-induced hypophagia test. They also present psychomotor retardation as well as increased emotional response to stressful events. Crtc1(-/-) mice have a blunted response to the antidepressant fluoxetine in behavioral despair paradigms, whereas fluoxetine normalizes their aggressiveness and their behavioral response in the novelty-induced hypophagia test. Crtc1(-/-) mice strikingly show, in addition to a reduced dopamine and serotonin turnover in the prefrontal cortex, a concomitant decreased expression of several susceptibility genes involved in neuroplasticity, including Bdnf, its receptor TrkB, the nuclear receptors Nr4a1-3, and several other CREB-regulated genes. CONCLUSIONS: Collectively, these findings support a role for the CRTC1-CREB pathway in mood disorders etiology and behavioral response to antidepressants and identify CRTC1 as an essential coactivator of genes involved in mood regulation.

Advanced geostatistical and machine-learning models for spatial data analysis of radioactively contaminated regions

Radioactive soil-contamination mapping and risk assessment is a vital issue for decision makers. Traditional approaches for mapping the spatial concentration of radionuclides employ various regression-based models, which usually provide a single-value prediction realization accompanied (in some cases) by estimation error. Such approaches do not provide the capability for rigorous uncertainty quantification or probabilistic mapping. Machine learning is a recent and fast-developing approach based on learning patterns and information from data. Artificial neural networks for prediction mapping have been especially powerful in combination with spatial statistics. A data-driven approach provides the opportunity to integrate additional relevant information about spatial phenomena into a prediction model for more accurate spatial estimates and associated uncertainty. Machine-learning algorithms can also be used for a wider spectrum of problems than before: classification, probability density estimation, and so forth. Stochastic simulations are used to model spatial variability and uncertainty. Unlike regression models, they provide multiple realizations of a particular spatial pattern that allow uncertainty and risk quantification. This paper reviews the most recent methods of spatial data analysis, prediction, and risk mapping, based on machine learning and stochastic simulations in comparison with more traditional regression models. The radioactive fallout from the Chernobyl Nuclear Power Plant accident is used to illustrate the application of the models for prediction and classification problems. This fallout is a unique case study that provides the challenging task of analyzing huge amounts of data ('hard' direct measurements, as well as supplementary information and expert estimates) and solving particular decision-oriented problems.

Le facteur D du complément: toxine urémique [Factor D of complement: Uremic toxin?].

Factor D is an essential enzyme of the alternative pathway of complement. Its catabolism is mainly renal. The concentration of factor D increases with renal failure, and is approximately 10-fold higher in patients with end-stage renal disease. The accumulation of factor D is responsible for an enhancement of alternative pathway activation. Whether this excess of factor D has pathophysiological consequences remains to be determined, however, complement activation might participate in adverse effects during hemodialysis and in the progression of renal injury.

The structure of nervous tissue and of Gram-positive bacteria studied by cryo-electron microscopy of vitreous sections

Résumé La structure, ou l'architecture, des êtres vivants définit le cadre dans lequel la physique de la vie s'accomplit. La connaissance de cette structure dans ses moindres détails est un but essentiel de la biologie. Son étude est toutefois entravée par des limitations techniques. Malgré son potentiel théorique, la microscopie électronique n'atteint pas une résolution atomique lorsqu'elle est appliquée ä la matièxe biologique. Cela est dû en grande partie au fait qu'elle contient beaucoup d'eau qui ne résiste pas au vide du microscope. Elle doit donc être déshydratée avant d'être introduite dans un microscope conventionnel. Des artéfacts d'agrégation en découlent inévitablement. La cryo-microscopie électronique des sections vitreuses (CEMOVIS) a ëté développée afin de résoudre cela. Les spécimens sont vitrifiés, c.-à-d. que leur eau est immobilisée sans cristalliser par le froid. Ils sont ensuite coupés en sections ultrafines et celles-ci sont observées à basse température. Les spécimens sont donc observés sous forme hydratée et non fixée; ils sont proches de leur état natif. Durant longtemps, CEMOVIS était très difficile à exécuter mais ce n'est plus le cas. Durant cette thèse, CEMOVIS a été appliqué à différents spécimens. La synapse du système nerveux central a été étudiée. La présence dans la fente synaptique d'une forte densité de molécules organisées de manière périodique a été démontrée. Des particules luminales ont été trouvées dans Ies microtubules cérébraux. Les microtubules ont servi d'objets-test et ont permis de démontrer que des détails moléculaires de l'ordre du nm sont préservés. La compréhension de la structure de l'enveloppe cellulaire des bactéries Grampositives aété améliorée. Nos observations ont abouti à l'élaboration d'un nouveau modèle hypothétique de la synthèse de la paroi. Nous avons aussi focalisé notre attention sur le nucléoïde bactérien et cela a suscité un modèle de la fonction des différents états structuraux du nucléoïde. En conclusion, cette thèse a démontré que CEMOVIS est une excellente méthode poux étudier la structure d'échantillons biologiques à haute résolution. L'étude de la structure de divers aspects des êtres vivants a évoqué des hypothèses quant à la compréhension de leur fonctionnement. Summary The structure, or the architecture, of living beings defines the framework in which the physics of life takes place. Understanding it in its finest details is an essential goal of biology. Its study is however hampered by technical limitations. Despite its theoretical potential, electron microscopy cannot resolve individual atoms in biological matter. This is in great part due to the fact. that it contains a lot of water that cannot stand the vacuum of the microscope. It must therefore be dehydrated before being introduced in a conventional mìcroscope. Aggregation artefacts unavoidably happen. Cryo-electron microscopy of vitreous sections (CEMOVIS) has been developed to solve this problem. Specimens are vitrified, i.e. they are rapidly cooled and their water is immobilised without crystallising by the cold. They are then. sectioned in ultrathin slices, which are observed at low temperatures. Specimens are therefore observed in hydrated and unfixed form; they are close to their native state. For a long time, CEMOVIS was extremely tedious but this is not the case anymore. During this thesis, CEMOVIS was applied to different specimens. Synapse of central nervous system was studied. A high density of periodically-organised molecules was shown in the synaptic cleft. Luminal particles were found in brain microtubules. Microtubules, used as test specimen, permitted to demonstrate that molecular details of the order of nm .are preserved. The understanding of the structure of cell envelope of Gram-positive bacteria was improved. Our observations led to the elaboration of a new hypothetic model of cell wall synthesis. We also focused our attention on bacterial nucleoids and this also gave rise to a functional model of nucleoid structural states. In conclusion, this thesis demonstrated that CEMOVIS is an excellent method for studying the structure of bìologìcal specimens at high resolution. The study of the structure of various aspects of living beings evoked hypothesis for their functioning.

Antimicrobial Activity of Iberian macroalgae

The antibacterial and antifungal activity of 82 marine macroalgae (18 Chlorophyceae, 25 Phaeophyceae and 39 Rhodophyceae) was studied to evaluate their potential for being used as natural preservatives in the cosmetic industry. The bioactivity was analysed from crude extracts of fresh and lyophilised samples against three Gram-positive bacteria, two Gram-negative bacteria and one yeast using the agar diffusion technique. The samples were collected seasonally from Mediterranean and Atlantic coasts of the Iberian Peninsula. Of the macroalgae analysed, 67% were active against at least one of the six test microorganisms. The highest percentage of active taxa was found in Phaeophyceae (84%), followed by Rhodophyceae (67%) and Chlorophyceae (44%). Nevertheless, red algae had both the highest values and the broadest spectrum of bioactivity. In particular, Bonnemaisonia asparagoides, Bonnemaisonia hamifera, Asparagopsis armata and Falkenbergia rufolanosa (Bonnemaisoniales) were the most active taxa. Bacillus cereus was the most sensitive test microorganism and Pseudomonas aeruginosa was the most resistant. The highest percentages of active taxa from Phaeophyceae and Rhodophyceae were found in autumn, whereas they were found in summer for Chlorophyceae.

Determination of meropenem in plasma and filtrate-dialysate from patients under continuous veno-venous haemodiafiltration by SPE-LC.

Meropenem, a carbapenem antibiotic displaying a broad spectrum of antibacterial activity, is administered in Medical Intensive Care Unit to critically ill patients undergoing continuous veno-venous haemodiafiltration (CVVHDF). However, there are limited data available to substantial rational dosing decisions in this condition. In an attempt to refine our knowledge and propose a rationally designed dosage regimen, we have developed a HPLC method to determine meropenem after solid-phase extraction (SPE) of plasma and dialysate fluids obtained from patients under CVVHDF. The assay comprises the simultaneous measurement of meropenem's open-ring metabolite UK-1a, whose fate has never been studied in CVVHDF patients. The clean-up procedure involved a SPE on C18 cartridge. Matrix components were eliminated with phosphate buffer pH 7.4 followed by 15:85 MeOH-phosphate buffer pH 7.4. Meropenem and UK-1a were subsequently desorbed with MeOH. The eluates were evaporated under nitrogen at room temperature (RT) and reconstituted in phosphate buffer pH 7.4. Separation was performed at RT on a Nucleosil 100-5 microm C18 AB cartridge column (125 x 4 mm I.D.) equipped with a guard column (8 x 4 mm I.D.) with UV-DAD detection set at 208 nm. The mobile phase was 1 ml min(-1), using a step-wise gradient elution program: %MeOH/0.005 M tetrabutylammonium chloride pH 7.4; 10/90-50/50 in 27 min. Over the range of 5-100 microg ml(-1), the regression coefficient of the calibration curves (plasma and dialysate) were >0.998. The absolute extraction recoveries of meropenem and UK-1a in plasma and filtrate-dialysate were stable and ranged from 88-93 to 72-77% for meropenem, and from 95-104 to 75-82% for UK-1a. In plasma and filtrate-dialysate, respectively, the mean intra-assay precision was 4.1 and 2.6% for meropenem and 4.2 and 3.7% for UK-1a. The inter-assay variability was 2.8 and 3.6% for meropenem and 2.3 and 2.8% for UK-1a. The accuracy was satisfactory for both meropenem and UK-1a with deviation never exceeding 9.0% of the nominal concentrations. The stability of meropenem, studied in biological samples left at RT and at +4 degrees C, was satisfactory with < 5% degradation after 1.5 h in blood but reached 22% in filtrate-dialysate samples stored at RT for 8 h, precluding accurate measurements of meropenem excreted unchanged in the filtrate-dialysate left at RT during the CVVHDF procedure. The method reported here enables accurate measurements of meropenem in critically ill patients under CVVHDF, making dosage individualisation possible in such patients. The levels of the metabolite UK-1a encountered in this population of patients were higher than those observed in healthy volunteers but was similar to those observed in patients with renal impairment under hemodialysis.

Nonlinear analysis of human physical activity patterns in health and disease.

The reliable and objective assessment of chronic disease state has been and still is a very significant challenge in clinical medicine. An essential feature of human behavior related to the health status, the functional capacity, and the quality of life is the physical activity during daily life. A common way to assess physical activity is to measure the quantity of body movement. Since human activity is controlled by various factors both extrinsic and intrinsic to the body, quantitative parameters only provide a partial assessment and do not allow for a clear distinction between normal and abnormal activity. In this paper, we propose a methodology for the analysis of human activity pattern based on the definition of different physical activity time series with the appropriate analysis methods. The temporal pattern of postures, movements, and transitions between postures was quantified using fractal analysis and symbolic dynamics statistics. The derived nonlinear metrics were able to discriminate patterns of daily activity generated from healthy and chronic pain states.

Cigarette smoking and the risk of endometrial cancer.

The risk of endometrial cancer in relation to cigarette consumption was evaluated in a hospital-based case-control study of breast and genital neoplasms conducted in Milan, northern Italy. For the present analysis, 357 women (cases) with histologically confirmed endometrial cancer were compared to a group of 1122 women (controls) admitted for a large spectrum of acute conditions unrelated to smoking or to any of the known or potential risk factors for endometrial cancer. Compared with never-smokers, the multivariate relative risk estimates were for current 0.45 [95% confidence interval (CI) = 0.30-0.70] and 0.86 (95% CI = 0.50-1.46) for ex-smokers. The negative association of endometrial cancer with current smoking was not influenced by menopausal status as well as by other major identified potential confounding factors, i.e. menstrual and reproductive history, body mass index, oral contraceptive or estrogen replacement therapy use and family gynecologic cancer history. However, there was no evidence of a dose-risk effect, since the relative risks were similar in moderate and heavy smokers. The present study confirms that smoking is less frequent in cases hospitalized for endometrial cancer than in a comparison group of patients with non-smoking-related acute conditions. This negative association is perhaps explained in terms of reduced estrogen levels in smokers, though the influence and the importance of some uncontrolled selection bias (due, for instance, to longer hospital stay of smokers even when admission diagnosis was for non-smoking-related conditions) cannot be ruled out.

The zinc transporter SLC39A13/ZIP13 is required for connective tissue development; its involvement in BMP/TGF-beta signaling pathways.

BACKGROUND: Zinc (Zn) is an essential trace element and it is abundant in connective tissues, however biological roles of Zn and its transporters in those tissues and cells remain unknown. METHODOLOGY/PRINCIPAL FINDINGS: Here we report that mice deficient in Zn transporter Slc39a13/Zip13 show changes in bone, teeth and connective tissue reminiscent of the clinical spectrum of human Ehlers-Danlos syndrome (EDS). The Slc39a13 knockout (Slc39a13-KO) mice show defects in the maturation of osteoblasts, chondrocytes, odontoblasts, and fibroblasts. In the corresponding tissues and cells, impairment in bone morphogenic protein (BMP) and TGF-beta signaling were observed. Homozygosity for a SLC39A13 loss of function mutation was detected in sibs affected by a unique variant of EDS that recapitulates the phenotype observed in Slc39a13-KO mice. CONCLUSIONS/SIGNIFICANCE: Hence, our results reveal a crucial role of SLC39A13/ZIP13 in connective tissue development at least in part due to its involvement in the BMP/TGF-beta signaling pathways. The Slc39a13-KO mouse represents a novel animal model linking zinc metabolism, BMP/TGF-beta signaling and connective tissue dysfunction.

Addressing non-communicable diseases in the Seychelles: towards a comprehensive plan of action.

This article reviews the different steps taken during the past 20 years for the prevention and control of non-communicable diseases (NCDs) in the Seychelles. National surveys revealed high levels of several cardiovascular risk factors and prompted an organized response, starting with the creation of an NCD unit in the Ministry of Health. Information campaigns and nationwide activities raised awareness and rallied increasingly broad and high-level support. Significant policy was developed including comprehensive tobacco legislation and a School Nutrition Policy that bans soft drinks in schools. NCD guidelines were developed and specialized 'NCD nurses' were trained to complement doctors in district health centers. Decreasing smoking prevalence is evidence of success, but the raising so-called diabesity epidemic calls for an integrated multi-sector policy to mould an environment conducive to healthy behaviors. Essential components of these efforts include: effective surveillance mechanisms supplemented by focused research; generating broad interest and consensus; mobilizing leadership and commitment at all levels; involving local and international expertise; building on existing efforts; and seeking integrated, multi-disciplinary and multi-sector approaches.

Phenotyping of 60 cultured human gliomas and 34 other neuroectodermal tumors by means of monoclonal antibodies against glioma, melanoma and HLA-DR antigens.

The reactivity spectrum of three monoclonal antibodies (Mabs) to human malignant glioma, five Mabs to melanomas and one Mab anti-HLA-DR was investigated by an indirect antibody binding radioimmunoassay on a panel of cells derived from 60 glioma lines, including 47 malignant astrocytomas, 11 low-grade astrocytomas and two malignant ependymomas as well on cells from 12 melanoma, three neuroblastoma, three medulloblastoma, two schwannoma, two retinoblastoma, two choroïd plexus papilloma, ten meningioma and 12 unrelated tumor lines. The anti-glioma Mabs BF7 and GE2 reacted preferentially with gliomas, while the anti-glioma Mab CG12 reacted with gliomas, melanomas, neuroblastomas and medulloblastomas. The five anti-melanoma Mabs reacted with gliomas, neuroblastomas and medulloblastomas. The anti-HLA-DR Mab D1-12 reacted with gliomas, melanomas and some meningiomas. On the basis of the data presented, we describe three different antigenic systems; the first one is glioma-associated, the second one is related to differentiation antigens expressed on cells derived from the neuroectoderm and the third is represented by HLA-DR antigens which are expressed not only on B-lymphoblastoid cells but also on melanomas and gliomas.

Evolutionary comparison provides evidence for pathogenicity of RMRP mutations.

Cartilage-hair hypoplasia (CHH) is a pleiotropic disease caused by recessive mutations in the RMRP gene that result in a wide spectrum of manifestations including short stature, sparse hair, metaphyseal dysplasia, anemia, immune deficiency, and increased incidence of cancer. Molecular diagnosis of CHH has implications for management, prognosis, follow-up, and genetic counseling of affected patients and their families. We report 20 novel mutations in 36 patients with CHH and describe the associated phenotypic spectrum. Given the high mutational heterogeneity (62 mutations reported to date), the high frequency of variations in the region (eight single nucleotide polymorphisms in and around RMRP), and the fact that RMRP is not translated into protein, prediction of mutation pathogenicity is difficult. We addressed this issue by a comparative genomic approach and aligned the genomic sequences of RMRP gene in the entire class of mammals. We found that putative pathogenic mutations are located in highly conserved nucleotides, whereas polymorphisms are located in non-conserved positions. We conclude that the abundance of variations in this small gene is remarkable and at odds with its high conservation through species; it is unclear whether these variations are caused by a high local mutation rate, a failure of repair mechanisms, or a relaxed selective pressure. The marked diversity of mutations in RMRP and the low homozygosity rate in our patient population indicate that CHH is more common than previously estimated, but may go unrecognized because of its variable clinical presentation. Thus, RMRP molecular testing may be indicated in individuals with isolated metaphyseal dysplasia, anemia, or immune dysregulation.

An operator formulation of the multiscale finite-volume method with correction function

The multiscale finite-volume (MSFV) method has been derived to efficiently solve large problems with spatially varying coefficients. The fine-scale problem is subdivided into local problems that can be solved separately and are coupled by a global problem. This algorithm, in consequence, shares some characteristics with two-level domain decomposition (DD) methods. However, the MSFV algorithm is different in that it incorporates a flux reconstruction step, which delivers a fine-scale mass conservative flux field without the need for iterating. This is achieved by the use of two overlapping coarse grids. The recently introduced correction function allows for a consistent handling of source terms, which makes the MSFV method a flexible algorithm that is applicable to a wide spectrum of problems. It is demonstrated that the MSFV operator, used to compute an approximate pressure solution, can be equivalently constructed by writing the Schur complement with a tangential approximation of a single-cell overlapping grid and incorporation of appropriate coarse-scale mass-balance equations.